Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Application of Linear Probability Model to Road Traffic Crash

Domaine:

peace and security

Type de record:

paper
Créateur:
AdeVicJam
Éditeur:
Dar
Hôte:
Road traffic crashes remain a critical public health and safety concern, particularly in developing countries such as Nigeria, where they constitute one of the leading causes of mortality and injury. This study investigates the likelihood that a road traffic crash in each of Nigeria’s six geopolitical zones and in the country as a whole results in a minor incident. Quarterly data on road traffic crashes were sourced from the official database of the Federal Road Safety Corps and analyzed using a linear probability model. The model estimates the probability of a crash being categorized as minor across regions. Findings indicate that the probability of minor road traffic crashes is consistently below 20 percent in all zones and nationally, suggesting that the majority of reported crashes result in major damage or casualties. These results point to a concerning trend in crash severity across Nigeria. The study highlights the urgent need for enhanced traffic safety interventions, stricter enforcement of road regulations, improved vehicle and infrastructure standards, and more effective emergency response systems. Emphasizing preventative strategies and public awareness campaigns could help shift the balance toward more minor, less harmful outcomes when crashes do occur. Ultimately, the goal should be to ensure that in the event of a road traffic crash, the incident remains minor in nature, minimizing harm to life and property.

Visit

doi.org

Similaires

Nigerian Multi-modal Road Traffic Crash DataModelling Road Traffic Crash Variables in Anambra State, Nigeria: An Application of Negative Binomial RegressionRoad Traffic Crash Incidents in Nigeria (2015–2024)A Geographic Information System Mobile Application for Road Traffic Crash Data Collection, Management and Analysisgbenaedem-cell/Road-Traffic-Crash-Analysis-in-Nigeria-Case-2021---2023A Georeferenced Incident-Level Road Traffic Crash Dataset for Nigeria (2015–2024)

Nigerian Multi-modal Road Traffic Crash Data

This is a Nigerian multi-modal road traffic crash (RTC) dataset curated from the Nigerian RTC corpus

Modelling Road Traffic Crash Variables in Anambra State, Nigeria: An Application of Negative Binomial Regression

International audience Incessant road traffic crashes with attendant injuries and dea

Road Traffic Crash Incidents in Nigeria (2015–2024)

This is an artificial intelligence (AI)-ready dataset of road traffic crash (RTC) incidents

A Geographic Information System Mobile Application for Road Traffic Crash Data Collection, Management and Analysis

The study addressed the issue of road traffic crashes in developing countries like Nigeria by develo

gbenaedem-cell/Road-Traffic-Crash-Analysis-in-Nigeria-Case-2021---2023

This project analyzes road traffic crash occurrences in Nigeria from 2021 to 2023 using quarterly ro

A Georeferenced Incident-Level Road Traffic Crash Dataset for Nigeria (2015–2024)

This is an artificial intelligence (AI)-ready dataset of road traffic crash (RTC) incidents in Niger